Panzerkampfwagen

Panzerkampfwagen — CS2 Stats

TC76561198024371261[U:1:64105533]Steam profile ↗✓ No bans

1,370Tracked matches54%Win rate2020Tracked since
8,482Hours in CS5Hrs last 2 wks
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating18,574Purple band · top ~14.2% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,574 -1,390 19 Aug – 12 Nov · 46 days played
17,77222,888peak 22,88819 Aug12 Nov
22,888Peak Premier in tracked matches
44Days played since 2026-08-19

Premier CS Rating

  • 4,314 below peak (22,888)
  • +802 over 30 days · improving
  • -1,390 over 90 days
  • Next: Pink band at 20,000 — 1,426 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches4——
Win rate50%——
K/D0.78——
Headshot %45%——

Measured 6 Nov 2026 → 14 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate39.8%44.4%46.9%7.1% short
Shot accuracy17.8%11.9%13.0%above
Kill/death ratio1.251.031.08above
Match win rate45.5%45.2%46.7%1.2% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPanzerkampfwagenPREMIER18,574 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning62
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateLWWLLWLWTW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.5pp headshot accuracy · −44ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 611ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 598ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 620ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility4.2
Positioning6.2
Opening Duels5.9

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.4
Positioning6.2
Utility4.2
Mechanics6.5
Opening Duels7.1
Win Impact6.2

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time608ms+20ms
first ⅓ avg 588ms → last ⅓ avg 608ms
Headshot accuracy15.0%+0.2%
first ⅓ avg 14.8% → last ⅓ avg 15.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.34Best match rating · 4–0 · rush_001, 30 Sept →
36%Best headshot accuracy · 4–0 · rush_001, 30 Sept →
406msFastest reaction time · 11–13 · inferno, 1 Oct →
13–0Biggest win · ancient, 10 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%0.03
ancientC2510–1540%0.02
mirageC156–940%-0.02
cacheS108–280%-0.01
infernoA74–357%0.00
anubisS65–183%0.02
nukeC52–340%0.04
rush_001—11–0100%0.34

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

173,316Lifetime kills
1.25K/D · Top 25% of Purple band
6,933Matches
45.5%Match win rate · Top 50% of Purple band
39.8%Headshot %
17.8%Shot accuracy · Top 10% of Purple band
21,068MVPs
3,038Hours (in match)
8,779Bombs planted
1,867Bombs defused

Most-used weapons

AK-4744,378
AWP28,833
FAMAS6,155
P2505,291
SG 5532,902
P902,855

Lifetime map wins

61,273dust2
4,021inferno
1,456nuke
356vertigo
257train
62ar_shoots
38cbble
35lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.2%Headshot accuracy
37.2%Accuracy (enemy spotted)
39.0%Spray accuracy
79.2%Counter-strafing
10.6°Preaim
621msReaction time
62.2%T opening success
54.4%CT opening success
0.52Enemies flashed / flash
4.5%Flash assists
7.51HE damage / grenade
6.24Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1842% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.008%12 Nov →
ancient13–0-0.0314%10 Nov →
mirage13–0-0.0419%10 Nov →
ancient11–13-0.0510%8 Nov →
dust210–130.0616%4 Nov →
anubis13–100.0510%4 Nov →
ancient1–13-0.103%4 Nov →
dust213–100.0817%30 Oct →
mirage15–15-0.0117%27 Oct →
ancient13–80.0620%27 Oct →
anubis13–90.0112%25 Oct →
ancient10–13-0.019%25 Oct →
cache13–80.0014%23 Oct →
mirage9–13-0.0118%22 Oct →
cache13–8-0.0024%19 Oct →
dust213–40.0424%19 Oct →
nuke15–150.0114%16 Oct →
ancient7–130.048%11 Oct →
mirage13–10-0.0217%7 Oct →
ancient7–13-0.0310%5 Oct →
dust26–13-0.049%5 Oct →
dust211–130.0616%5 Oct →
mirage16–13-0.0112%1 Oct →
mirage7–13-0.0515%1 Oct →
dust213–70.1020%1 Oct →
inferno11–130.0214%1 Oct →
ancient13–10.1120%1 Oct →
rush_0014–00.3436%30 Sept →
dust213–50.1318%30 Sept →
cache13–7-0.077%21 Sept →
dust25–13-0.0110%21 Sept →
dust211–13-0.0513%19 Sept →
cache13–60.0019%18 Sept →
dust213–80.0321%17 Sept →
mirage10–13-0.0213%17 Sept →
ancient13–20.0313%17 Sept →
dust26–130.0113%17 Sept →
cache13–9-0.0414%16 Sept →
dust28–130.0810%16 Sept →
ancient15–15-0.0118%16 Sept →
dust215–150.0216%16 Sept →
ancient9–130.0217%15 Sept →
inferno13–9-0.0111%15 Sept →
dust211–130.0119%14 Sept →
anubis13–90.0117%12 Sept →
dust213–30.159%12 Sept →
ancient13–20.1311%12 Sept →
dust29–130.0316%11 Sept →
ancient8–130.0012%10 Sept →
dust27–130.0716%10 Sept →
ancient6–130.0316%8 Sept →
dust210–13-0.0812%8 Sept →
dust213–40.1016%7 Sept →
ancient8–13-0.0313%7 Sept →
ancient5–13-0.026%6 Sept →
mirage9–13-0.0916%6 Sept →
dust26–130.0416%6 Sept →
ancient13–16-0.0320%6 Sept →
ancient8–13-0.0621%4 Sept →
anubis13–30.068%3 Sept →
dust214–16-0.0315%2 Sept →
cache13–5-0.0021%1 Sept →
dust213–6-0.0112%1 Sept →
mirage13–11-0.048%1 Sept →
cache16–13-0.0113%1 Sept →
ancient13–70.0620%30 Aug →
inferno13–90.0715%30 Aug →
dust213–110.0611%30 Aug →
ancient13–110.0412%29 Aug →
inferno14–160.005%29 Aug →
nuke16–140.0013%28 Aug →
mirage12–160.0017%28 Aug →
inferno13–4-0.0213%27 Aug →
inferno7–13-0.0513%27 Aug →
inferno13–100.015%27 Aug →
mirage8–13-0.0611%27 Aug →
dust28–130.0512%26 Aug →
ancient13–60.0913%26 Aug →
nuke9–130.0430%25 Aug →
anubis13–30.0219%25 Aug →
ancient15–15-0.0113%25 Aug →
ancient13–40.058%25 Aug →
nuke8–13-0.0314%25 Aug →
dust26–13-0.0519%25 Aug →
cache15–150.0114%25 Aug →
cache13–50.0016%24 Aug →
ancient8–130.0616%24 Aug →
dust213–40.0013%24 Aug →
mirage13–10-0.0117%24 Aug →
mirage3–13-0.0129%23 Aug →
mirage13–30.0821%23 Aug →
nuke13–40.1710%23 Aug →
ancient13–70.1516%21 Aug →
dust25–130.0711%21 Aug →
dust213–90.0622%21 Aug →
anubis2–13-0.056%21 Aug →
cache7–13-0.0328%21 Aug →
dust215–150.0114%20 Aug →
dust213–8-0.0417%20 Aug →
dust213–50.0714%19 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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